Description |
1 online resource (xiii, 270 pages) : illustrations (some color) |
Series |
Methods in molecular biology, 1940-6029 ; 1246 |
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Methods in molecular biology (Clifton, N.J.) ; v. 1246. 1064-3745
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Contents |
Actigraphy pattern analysis for outpatient monitoring / Elies Fuster-Garcia [and others] -- Definition of loss functions for learning from imbalanced data to minimize evaluation metrics / Juan Miguel Garcia-Gómez and Salvador Tortajada -- Audit method suited for DSS in clinical environment / Javier Vicente -- Incremental logistic regression for customizing automatic diagnostic models / Salvador Tortajada, Montserrat Robles, and Juan Miguel Garcia-Gómez -- Using process mining for automatic support of clinical pathways design / Carlos Fernandez-Llatas [and others] -- Analyzing complex patients' temporal histories : new frontiers in temporal data mining / Lucia Sacchi, Arianna Dagliati, and Riccardo Bellazzi -- Snow system : a decentralized medical data processing system / Johan Gustav Bellika, Torje Starbo Henriksen, and Kassaye Yitbarek Yigzaw -- Data mining for pulsing the emotion on the web / Jose Enrique Borras- Morell -- Introduction on health recommender systems / C.L. Sanchez-Bocanegra, F. Sanchez-Laguna, and J.L. Sevillano -- Cloud computing for context-aware enhanced m-health services / Carlos Fernandez-Llatas [and others] -- Analysis of speech-based measures for detecting and monitoring alzheimer's disease / A. Khodabakhsh and C. Demiroglu -- Applying data mining for the analysis of breast cancer data / Der-Ming Liou and Wei-Pin Chang -- Mining data when technology is applied to support patients and professional on the control of chronic diseases : the experience of the METABO platform for diabetes management / Giuseppe Fico [and others] -- Data analysis in cardiac arrhythmias / Miguel Rodrigo [and others] -- Knowledge-based personal health system to empower outpatients of diabetes mellitus by means of P4 medicine / Adrián Bresó [and others] -- Serious games for elderly continuous monitoring / Lenin-G. Lemus-Zúñiga [and others] |
Summary |
This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written in the highly successful Methods in Molecular Biology series format, chapters are thought to show to Medical Doctors and Engineers the new trends and techniques that are being applied to Clinical Medicine with the arrival of new Information and Communication technologies Authoritative and practical, Data Mining in Clinical Medicine seeks to aid scientists with new approaches and trends in the field |
Analysis |
geneeskunde |
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medicine |
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bioinformatics |
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datamining |
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data mining |
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Medicine (General) |
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Geneeskunde (algemeen) |
Bibliography |
Includes bibliographical references and index |
Notes |
English |
Subject |
Data mining.
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Artificial intelligence -- Medical applications.
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Medical personnel.
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Clinical medicine.
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Methodology.
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Information Storage and Retrieval
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Medicine
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Investigative Techniques
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Information Science
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Informatics
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Analytical, Diagnostic and Therapeutic Techniques and Equipment
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Medical Informatics Applications
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Health Occupations
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Disciplines and Occupations
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Clinical Medicine
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Medical Informatics
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Data Mining
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Methods
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methodology.
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Methodology
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Medical personnel
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Clinical medicine
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Artificial intelligence -- Medical applications
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Data mining
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Genre/Form |
Laboratory manuals.
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Manuels de laboratoire.
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Form |
Electronic book
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Author |
Fernandez-Llatas, Carlos.
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García-Gómez, Juan Miguel.
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ISBN |
9781493919857 |
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1493919857 |
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